In the present paper, we propose an approach based on the Kalman filter for demodulation in a dual-pulse phase-OTDR. Although the Kalman filter is well-developed and widely used method for the state estimation of a dynamic system, its use for demodulation in a phase-OTDR is proposed for the first time, to our best knowledge. Two main algorithms are considered and described in detail: the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), the first one is fast and simple, but the second one is more accurate. A qualitative comparison of these algorithms with the differentiate and cross-multiply (DCM) algorithm is performed. The efficiency of the EKF and the UKF algorithms is experimentally verified.

在本文中，我们提出了一种基于卡尔曼滤波器的双脉冲相位OTDR解调方法。尽管卡尔曼滤波器是用于动态系统状态估计的发达且广泛使用的方法，但据我们所知，这是首次提出将其用于相位OTDR中的解调。考虑并详细描述了两个主要算法：扩展卡尔曼滤波器（EKF）和无味卡尔曼滤波器（UKF），第一个算法快速，简单，而第二个更为精确。对这些算法与微分和交叉乘法（DCM）算法进行了定性比较。EKF和UKF算法的效率已通过实验验证。